Journal of people, plants, and environment, Feb 28, 2023
Background and objective: To deal with recent issues such as climate change, rural aging, food se... more Background and objective: To deal with recent issues such as climate change, rural aging, food security, and the Fourth Industrial Revolution, there is a growing interest in smart farms that can efficiently produce food with ICT. In response to the international issues, this study analyzed articles on smart farms published in international journals and KCI journals as well as Instagram hashtags through text mining and identified relevant research trends and public awareness. Methods: This study collected total 584 articles on smart farms from 2010 to 2021 and hashtags in Instagram posts uploaded in 2021. To improve the reliability of the analysis results, nouns were exclusively extracted from the abstracts and hashtags, and data preprocessing was performed by removing nouns that appear customarily and combining synonyms. After that, we analyzed frequency, degree centrality, betweenness centrality, and topic modeling. Results: The analysis results of words with high frequency and centrality by research data are as follows. KCI and international journal articles had a tendency to mainly focus on ICT system development for efficient operation of smart farms. However, KCI articles considered relevant policies to establish the technologies. On the other hand, international journal articles tended to conduct research on smart farms in a wider area of agricultural fields than KCI articles. The main topics on Instagram were diet food, rural migration, and urban agriculture. This result shows that healthy food, experiences, and education through smart farms are gaining public interest. Conclusion: Currently, there is insufficient analysis of research trends in smart farms. In this vein, this study has significance as it included academic trends and public awareness by considering both research articles and Instagram posts. We expect the results of this study to be used as useful data for decision making to set the research and policy directions required to advance smart farms in the future.
Journal of The Faculty of Agriculture Kyushu University, Feb 1, 2013
This study used Auto Ignition Temperature Tester (KRS-RG-9000) and Dual Cone Calorimeter(ISO 5660... more This study used Auto Ignition Temperature Tester (KRS-RG-9000) and Dual Cone Calorimeter(ISO 5660-1) in 14 representative species of trees as part of research on the fire watch of crown fire in the formed tree of subtropical forest and considered the initial combustion characteristics such as ignition characteristics and heat generation characteristics and fire load. In the green leaf, the percentage of moisture content was 116~248%, which differed according to the species of trees and the Daphniphyllum macropodum which showed the highest percentage of water content, which was 2.14 times more than the Abies koreana Wilson which showed the lowest percentage of moisture content. Flameless igniting temperature was 251~383˚C and Quercus serrata and Carpinus tschonoskii showed a relatively lower flameless igniting temperature, and the flameless igniting temperature of Carpinus tschonoskii was 61˚C, which showed the shorted time than the other species of trees. Both total heat release and mean heat release rate showed the highest values in six species of trees such as yew, Taxus cuspidata, Prunus maximowiczii, Betula ermani var. communis, Carpinus tschonoskii, Acer palmatum, and Acer pseudo-sieboldianum. Based on these findings, a colony of yew, Taxus cuspidata, Prunus maximowiczii, Betula ermani var. communis, Carpinus tschonoskii, Acer palmatum, and Acer pseudo-sieboldianum has a high fire load according to the high heat generation rate when its crown fire proceeds and the fire strength is expected to be big, and as Carpinus tschonoskii has a high risk of ignition, it is considered that its fire spread will proceed rapidly on forest fire.
Journal of The Faculty of Agriculture Kyushu University, Feb 1, 2013
Moisture content of woody fuel is an important indicator of fire risk, and thus can be effectivel... more Moisture content of woody fuel is an important indicator of fire risk, and thus can be effectively used for fire management. Most forest fires in Korea occur during spring in Korea, when low fuel moisture condition is combined with strong westerly dry Foehn wind. To better understand the fuel moisture dynamics during this season, we developed a fuel moisture prediction model for a deciduous forest stand in Yeongdong region in Korea to predict the moisture content of aboveground woody fuel after significant precipitation events (>5.0 mm). The model was based on changes in moisture content of woody debris for several fuel size classes based on their diameter (<0.6 cm, 0.6-3.0 cm, 3.0-6.0 cm, and >6.0 cm), measured in the spring of 2008. Results indicate that fuel moisture content dropped more rapidly in smaller fuels (time until high fire risk moisture level reached after 3 days since precipitation event for fuel size class <0.6 cm, and 6 days for 0.6-3.0 cm) and in stands with lower canopy cover. Our model showed reasonable performance in representing the changes in fuel change, and was successfully validated against 2009 data.
International Journal of Environmental Research and Public Health, Feb 1, 2023
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Landscape and Ecological Engineering, Apr 10, 2023
In the original publication of the article, one of the coauthors names was published incorrectly ... more In the original publication of the article, one of the coauthors names was published incorrectly as "Wonkyoung Song". The correct name should read as follows "Wonkyong Song".
Landslide is one of the most dangerous disasters in terms of occurrence frequency and damage seve... more Landslide is one of the most dangerous disasters in terms of occurrence frequency and damage severity that result in loss of human life and social infrastructure. Monitoring methods based on low temporal resolution instruments such as an inclinometer or piezometer can be an effective and cost-efficient solution. The objective of this research is to analyse monitoring time intervals for low temporal resolution methods based on a risk study and to propose a plan for periodic landslide monitoring along with the different landslide hazard areas by considering the risk reduction effect. For this purpose, an equation for the probability of landslide occurrence was denoted by the concept of reliability, and the monitoring time interval was analysed quantitatively by calculating the average probability of landslide occurrence. To identity the frequency of landslide occurrence, a unit of relative temporal frequencies was adopted, and it was estimated by establishing rainfall threshold. As a case study site, Pyeongchang County was selected, where landslide inventory data are available and an increase in population and infrastructure has been observed since Pyeongchang became the host city of the 2018 winter Olympic games. The result demonstrates that the appropriate monitoring intervals can be determined by calculating the average probability of landslide occurrence, and resources can then be allocated efficiently for landslide prevention. 1 Introduction Climate change such as an increase in heavy precipitation events has been observed recently, and the risk to people, properties and ecosystems from natural disasters such as storms, extreme precipitation and landslides has been intensified, especially under conditions of insufficient infrastructure and services (IPCC, 2013). Landslide is one of the most dangerous disasters in terms of occurrence frequency and damage severity that result in loss of human life and social infrastructure (Petley,
Extreme climate events such as typhoons, heat waves, and floods have increased in frequency with ... more Extreme climate events such as typhoons, heat waves, and floods have increased in frequency with climate change. Many municipalities within the Republic of Korea (ROK) have experienced damage from these events, necessitating countermeasures. Vulnerability assessment has been suggested in the implementation of a national plan for reducing damage resulting from climate change. Thus, in this study, we assess the vulnerability of the ROK and identify key vulnerable municipalities in support of the national adaptation plan. We create a framework for assessing the vulnerability of all 232
Journal of the Korea Society of Environmental Restoration Technology, Dec 31, 2016
Slope revegetation refers to the use of vegetation and construction to protect a barren slope dev... more Slope revegetation refers to the use of vegetation and construction to protect a barren slope devastated by road and building construction. Among many revegetation strategies, hydroseeding has been widely utilized to stabilize barren slopes and has become the representative approach. Previous studies on slope stability have been conducted from a civil engineering perspective, mainly evaluating the stability of cut-slopes on solid bedrock and the use of concrete structures to stabilize devastated slopes. This study was conducted to develop a method to evaluate erosion risk of revegetated cut-slopes, based on criteria derived from previous studies. Twenty-five factors were surveyed on both on-the-spot erosion slopes and non-erosion slopes after slope revegetation to compare slope types. The scores of all non-erosion slopes exceed 80 score while erosion slopes are 80 below. Erosion slopes got the range of 68-74 score while non-erosion slopes got the range of 81-100 score in the first result which was not applied for weighted-values. The scores of all non-erosion slopes exceeded 3.10, while erosion slopes were below 3.10. Erosion slopes were in the range of 2.73-3.09, while non-erosion slopes were in the range of 3.15-3.90 in the second result, which was applied with weighted-values according to the AHP result from a previous study.
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
This study employs a diverse set of variables to explain slope stabilization on stable versus fai... more This study employs a diverse set of variables to explain slope stabilization on stable versus failure-prone revegetated cut-slopes in Korea. A field survey was conducted at potential unstable sites and stable sites using 23 variables. Through a non-parametric test of the field survey results, 15 variables were identified as primary determinants of slope failure. Of these variables, one described physical characteristics (elapsed year); four variables described vegetation properties (plant community, vegetation coverage rate, number of trees, and number of herbs); and 10 variables represented soil properties (porosity, soil hardness, water content, sand ratio and silt ratio of soil texture, tensile strength, permeability coefficient, soil depth, soil acidity, salt concentration, and organic matter). Slope angle, which was mainly considered in previous studies, of variables in physical characteristics was
Stochastic Environmental Research and Risk Assessment, Sep 27, 2018
Landslides are one of the most dangerous types of natural disasters, and damage due to landslides... more Landslides are one of the most dangerous types of natural disasters, and damage due to landslides has been increasing in certain regions of the world because of increased precipitation. Policy decision makers require reliable information that can be used to establish spatial adaptation plans to protect people from landslide hazards. Researchers presently identify areas susceptible to landslides using various spatial distribution models. However, such data are associated with a high amount of uncertainty. This study focuses on quantifying the uncertainty of several spatial distribution models and identifying the effectiveness of various ensemble methods that can be used to provide reliable information to support policy decisions. The area of study was Inje-gun, Republic of Korea. Ten models were selected to assess landslide susceptibility. Moreover, five ensemble methods were selected for the aggregated results of the 10 models. The uncertainty was quantified using the coefficient of variation and the uncertainty map we developed revealed areas with strongly differing values among single models. A matrix map was created using an ensemble map and a coefficient of variation map. Using matrix analysis, we identified the areas that are most susceptible to landslides according to the ensemble model with a low uncertainty. Thus, the ensemble model can be a useful tool for supporting decision makers. The framework of this study can also be employed to support the establishment of landslide adaptation plans in other areas of the Republic of Korea and in other countries.
Background and objective: The urban heat island (UHI) effect is recognized as a representative en... more Background and objective: The urban heat island (UHI) effect is recognized as a representative environmental problem that occurs in cities in summer. This study aimed to quantitatively determine the surface temperature (ST) of UGSs using high-resolution images taken by an unmanned aerial vehicle (UAV), and analyze time-series changes in ST according to spatial characteristics (conifers, deciduous trees, shrubs, grass, metal sculptures, pavements).Methods: In this study, ST data of UGSs were established and acquired through UAV flight and filming, and orthoimages of such data were produced using the Pix4D program. In addition, by comparing RGB orthoimages and green space status data (location of trees and facilities) obtained from field surveys, a green-space type map was prepared using ArcGIS (v10.3.1) software to classify land cover types in green spaces (GSs). ST distribution by GS type was analyzed and statistical significance was verified through one-way ANOVA.Results: As a resu...
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